Free satellite data and open-source tools for urban green spaces and temperature pattern analysis in Algiers DOI
Nadia Mekhloufi, Mariella Aquilino,

Amel Baziz

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 139, P. 104482 - 104482

Published: March 17, 2025

Language: Английский

Assessment of urban sprawls, amenities, and indifferences of LST and AOD in sub-urban area: a case study of Jammu DOI
Divyesh Varade, Hemant Singh, Abhinav Pratap Singh

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(49), P. 107179 - 107198

Published: March 28, 2023

Language: Английский

Citations

13

Exploring the spatial interplay between built-up environments and surface urban heat island phenomena in the main urban area of Shanghai DOI
Peng Zeng, Cheng Zong,

Zhicheng Duan

et al.

Energy and Buildings, Journal Year: 2023, Volume and Issue: 301, P. 113739 - 113739

Published: Nov. 8, 2023

Language: Английский

Citations

13

Assessment of urban heat island using remote sensing and geospatial application: A case study in Sao Paulo city, Brazil, South America DOI
S. Venkatraman,

V. Kandasamy,

J. Rajalakshmi

et al.

Journal of South American Earth Sciences, Journal Year: 2024, Volume and Issue: 134, P. 104763 - 104763

Published: Jan. 2, 2024

Language: Английский

Citations

5

Spatio-temporal Analysis of LST, NDVI and SUHI in a Coastal Temperate City using Local Climate Zone DOI Creative Commons
Tania Sharmin, Adrian Chappell, Simon Lannon

et al.

Energy and Built Environment, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Extreme heat due to changing climate poses a new challenge for temperate climates. The is further aggravated by inadequate research, policy, or preparedness effectively respond and recover from its impacts. While urban morphology plays crucial role in mitigating heat, it has received limited attention planning, highlighting the need exploration, particularly regions. To illustrate potential mitigations, we use example of coastal city Cardiff. establish interrelations between island patterns, explored spatiotemporal variations land surface temperature (LST), normalised difference vegetation index (NDVI), (SUHI) local zone (LCZ) classification Results showed significant variation SUHI LCZ zones. Both LST NDVI were found vary significantly across zones demonstrating their association with form locality. For built-up areas, more compact built-environment smaller cover larger building density was 2.0°C warmer than open when comparing mean summer LSTs. On average, natural classes exhibit that 8.0°C lower 6.0°C built-environment. Consequently, high-density, LCZs have greater effect compared classes. Therefore, cities will benefit incorporating an sufficient greenery spaces. These findings help determine optimal climates develop mitigation strategies while designing, improving existing areas. In addition, map applied this study Cardiff enable international comparison testing proven change adaptation techniques similar

Language: Английский

Citations

5

Optimizing indoor air quality and energy efficiency in multifamily residences: Advanced passive pipe system parametrics study DOI Creative Commons
Laith M. Obeidat,

James R. Jones,

Dima Muawiya Mahaftha

et al.

International Journal of Environmental Science and Technology, Journal Year: 2024, Volume and Issue: 21(16), P. 10003 - 10026

Published: April 28, 2024

Abstract This research focuses on enhancing natural ventilation in multifamily residential buildings to improve air quality and minimize reliance mechanical ventilation, thereby reducing energy consumption. The study pioneers the integration of passive pipe systems within structural floor slabs building envelopes, aiming overcome inherent challenges indoor environmental (IEQ) related design constraints, occupant behavior, urban context. Our innovative approach, utilizing a novel application Grasshopper for precise architectural modeling Ansys advanced multiphysics simulation, enables detailed comparative analysis airflow dynamics across various system configurations. A comprehensive literature review underscores significance as key cooling strategy, vital use IEQ face urbanization challenges. empirical findings reveal that configurations with more inlet outlet pipes significantly outperform simpler ones, notable configuration 11 (5 × 6) achieving an actual-to-required rate increase 158.15%. evidence highlights substantial benefits adopting complex improved efficiency. study’s outcomes include impactful recommendations enhanced strategies buildings. These promise inform sustainable planning management strategies, offering scalable solution cities seeking balance growth sustainability. By demonstrating clear advantages targeted interventions, this contributes valuable insights toward efficiency superior buildings, paving way future exploration diverse climatic contexts.

Language: Английский

Citations

4

The impact of compound drought and heatwave events from 1982 to 2022 on the phenology of Central Asian grasslands DOI

Ruikang Tian,

Jianhao Li,

Jianghua Zheng

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121624 - 121624

Published: July 4, 2024

Language: Английский

Citations

4

Spatiotemporal dynamics of land use/land cover (LULC) changes and its impact on land surface temperature: A case study in New Town Kolkata, eastern India DOI Creative Commons

Bubun Mahata,

Siba Sankar Sahu,

Archishman Sardar

et al.

Regional Sustainability, Journal Year: 2024, Volume and Issue: 5(2), P. 100138 - 100138

Published: June 1, 2024

Rapid urbanization creates complexity, results in dynamic changes land and environment, influences the surface temperature (LST) fast-developing cities. In this study, we examined impact of use/land cover (LULC) on LST determined intensity urban heat island (UHI) New Town Kolkata (a smart city), eastern India, from 1991 to 2021 at 10-a intervals using various series Landsat multi-spectral thermal bands. This study used maximum likelihood algorithm for image classification other methods like correlation analysis hotspot (Getis–Ord Gi* method) examine LULC environment. noticed that area percentage built-up increased rapidly 21.91% 45.63% during 1991–2021, with a positive change negative sparse vegetation. The mean significantly period (1991–2021), 16.31°C 22.48°C winter, 29.18°C 34.61°C summer, 19.18°C 27.11°C autumn. result showed impervious surfaces contribute higher LST, whereas vegetation helps decrease it. Poor ecological status has been found land, excellent water body. hot spot cold areas shifted their locations every decade due random changes. Even after became city, high observed. Overall, indicated patterns can influence appropriate planning is needed reduce LST. help policy-makers create sustainable

Language: Английский

Citations

4

Harnessing Machine Learning Algorithms to Model the Association between Land Use/Land Cover Change and Heatwave Dynamics for Enhanced Environmental Management DOI Creative Commons
Kumar Ashwini, Briti Sundar Sil, Abdulla ‐ Al Kafy

et al.

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1273 - 1273

Published: Aug. 12, 2024

As we navigate the fast-paced era of urban expansion, integration machine learning (ML) and remote sensing (RS) has become a cornerstone in environmental management. This research, focusing on Silchar City, non-attainment city under National Clean Air Program (NCAP), leverages these advanced technologies to understand microclimate its implications health, resilience, sustainability built environment. The rise land surface temperature (LST) changes use cover (LULC) have been identified as key contributors thermal dynamics, particularly development heat islands (UHIs). Urban Thermal Field Variance Index (UTFVI) can assess influence UHIs, which is considered parameter for ecological quality assessment. research examines interlinkages among LST, dynamics City due substantial air temperature, poor quality, particulate matter PM2.5. Using Landsat satellite imagery, LULC maps were derived 2000, 2010, 2020 by applying supervised classification approach. LST was calculated converting band spectral radiance into brightness temperature. We utilized Cellular Automata (CA) Artificial Neural Networks (ANNs) project potential scenarios up year 2040. Over two-decade period from 2000 2020, observed 21% expansion built-up areas, primarily at expense vegetation agricultural lands. transformation contributed increased with over 10% area exceeding 25 °C compared just 1% 2000. CA model predicts areas will grow an additional 26% 2040, causing 4 °C. UTFVI analysis reveals declining comfort, worst affected zone projected expand 7 km2. increase PM2.5 aerosol optical depth past two decades further indicates deteriorating quality. study underscores ML RS management, providing valuable insights that guide policy formulation sustainable planning.

Language: Английский

Citations

4

Spatio-temporal analysis of urbanization effects: unravelling land use and land cover dynamics and their influence on land surface temperature in Aligarh City DOI Creative Commons
Danish Khan,

Shahar Bano,

Nizamuddin Khan

et al.

Geology Ecology and Landscapes, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: Oct. 1, 2024

Language: Английский

Citations

4

Blue space resilient urban planning to enhance severely distressed thermal environment DOI
Aman Gupta, Bhaskar De

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: unknown, P. 103804 - 103804

Published: Nov. 1, 2024

Language: Английский

Citations

4